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If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.
If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.
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Has a B.A from the University of Ottawa. Pursuing a M.Ed in psychology from the University of Calgary. Developed SAS Base Programming expertise through academic career and partly self-study.
Dr. Alan Yang is a Lecturer in the Discipline of International and Public Affairs at the School of International and Public Affairs (SIPA), Columbia University. He received his PhD in Political Science at Columbia University (2003) and has more than a dozen years of experience teaching courses in Introductory Statistics, Econometrics, and Quantitative Methods in Program Evaluation at SIPA. His research has appeared in edited volumes and journals such as Public Opinion Quarterly, Political Science Quarterly, and Social Science Quarterly. He also does statistical consulting work for non-profit, NGO, and academic organizations. He and his co-author, Rodolfo de la Garza, are currently at work on a manuscript (Americanizing Latino Politics) under contract with Routledge on Latino politics in the U.S. to be published in Fall 2017.
Dr. Fantini is a Medical Biotechnologist with a strong background in cellular and molecular biology and extensive expertise in Data Mining and Genomic Data Analysis. He is currently working as postdoctoral researcher in the areas of DNA Repair and Cancer Research at Northwestern University, Feinberg School of Medicine (Chicago, IL, USA). He earned his Ph.D. degree in “Biomedical and Biotechnological Sciences” from University of Udine (Udine, ITALY) in 2010 and has been conducting research aimed at dissecting the biology of human cancer ever since, with a focus on the analysis of processes leading to accumulation of cancer somatic mutations and genetic instability. As postdoc, Dr. Fantini worked in world-reputed institutions, including the french “Atomic Energy Commission” (CEA, Fontenay-aux-Roses, France), “University of Illinois at Chicago” (UIC, Chicago, IL) and currently “Northwestern University” (NU, Chicago, IL) since June 2016. Dr. Fantini’s research is documented by 10 scientific peer-reviewed articles (5 first-author research articles), and a total of more than 350 article citations. In the last 5 years, Dr. Fantini has actively contributed to develop open-source software for biomedical data retrieval and analysis, mainly written in R, and made it available to the scientific community via The Comprehensive R Archive Network (CRAN) or other freely accessible repositories (GitHub). Dr. Fantini’s R packages include mutSignatures (perform non-negative matrix factorization on genomic mutation data from cancer samples), easyPubMed (a simple R interface to the NIH Entrez/PubMed database to download and process large volumes of PubMed records), and TCGAretriever (an easy-to-use interface for accessing and analyzing open-access genomic and clinical data from the cBioPortal Genomics repository).
Jon is Sr. Data Analytics Consultant with a primary focus on Business Intelligence and Data Warehousing. Jonathan has over 25 years professional experience working with companies such as Bank of America and Kronos. Jon has experience with Microsoft Business Intelligence stack including Azure Data Platform and Cortana Analytics, Data Warehousing, ETL, OLAP, Reports, Dashboards, Master Data Services, Data Quality Services, Hadoop, and Power BI. He has also maintains a well followed technical blog for over ten years on current trends in information technology.